Statistical optimization for tannase production by Aspergillus tubingensis in solid-state fermentation using tea stalks

Background: A sequential statistical strategy was used to optimize tannase production from Aspergillus tubingensis using tea stalks by solid-state fermentation. Results: First, using a Plackett–Burman design, inoculum size and incubation time (among seven tested variables) were identified as the mos...

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Main Authors: Anfeng Xiao, Yufeng Huang, Hui Ni, Huinong Cai, Qiuming Yang
Format: Article
Language:English
Published: Elsevier 2015-05-01
Series:Electronic Journal of Biotechnology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S071734581500024X
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spelling doaj-60327216891c4f30a265afa11c0d2b502020-11-24T23:17:49ZengElsevierElectronic Journal of Biotechnology0717-34582015-05-0118314314710.1016/j.ejbt.2015.02.001Statistical optimization for tannase production by Aspergillus tubingensis in solid-state fermentation using tea stalksAnfeng Xiao0Yufeng Huang1Hui Ni2Huinong Cai3Qiuming Yang4College of Food and Biological Engineering, Jimei University, Xiamen 361021, ChinaCollege of Food and Biological Engineering, Jimei University, Xiamen 361021, ChinaCollege of Food and Biological Engineering, Jimei University, Xiamen 361021, ChinaCollege of Food and Biological Engineering, Jimei University, Xiamen 361021, ChinaCollege of Food and Biological Engineering, Jimei University, Xiamen 361021, ChinaBackground: A sequential statistical strategy was used to optimize tannase production from Aspergillus tubingensis using tea stalks by solid-state fermentation. Results: First, using a Plackett–Burman design, inoculum size and incubation time (among seven tested variables) were identified as the most significant factors for tannase yield. The effects of significant variables were further evaluated through a single steepest ascent experiment and central composite design with response surface analysis. Under optimal conditions, the experimental value of 84.24 units per gram of dry substrate (U/gds) closely matched the predicted value of 87.26 U/gds. Conclusions: The result of the statistical approach was 2.09 times higher than the basal medium (40.22 U/gds). The results were fitted onto a second-order polynomial model with a correlation coefficient (R2) of 0.9340, which implied an adequate credibility of the model.http://www.sciencedirect.com/science/article/pii/S071734581500024XAspergillus tubingensisProcess optimizationResponse surface methodologyTea stalksTannase fermentation
collection DOAJ
language English
format Article
sources DOAJ
author Anfeng Xiao
Yufeng Huang
Hui Ni
Huinong Cai
Qiuming Yang
spellingShingle Anfeng Xiao
Yufeng Huang
Hui Ni
Huinong Cai
Qiuming Yang
Statistical optimization for tannase production by Aspergillus tubingensis in solid-state fermentation using tea stalks
Electronic Journal of Biotechnology
Aspergillus tubingensis
Process optimization
Response surface methodology
Tea stalks
Tannase fermentation
author_facet Anfeng Xiao
Yufeng Huang
Hui Ni
Huinong Cai
Qiuming Yang
author_sort Anfeng Xiao
title Statistical optimization for tannase production by Aspergillus tubingensis in solid-state fermentation using tea stalks
title_short Statistical optimization for tannase production by Aspergillus tubingensis in solid-state fermentation using tea stalks
title_full Statistical optimization for tannase production by Aspergillus tubingensis in solid-state fermentation using tea stalks
title_fullStr Statistical optimization for tannase production by Aspergillus tubingensis in solid-state fermentation using tea stalks
title_full_unstemmed Statistical optimization for tannase production by Aspergillus tubingensis in solid-state fermentation using tea stalks
title_sort statistical optimization for tannase production by aspergillus tubingensis in solid-state fermentation using tea stalks
publisher Elsevier
series Electronic Journal of Biotechnology
issn 0717-3458
publishDate 2015-05-01
description Background: A sequential statistical strategy was used to optimize tannase production from Aspergillus tubingensis using tea stalks by solid-state fermentation. Results: First, using a Plackett–Burman design, inoculum size and incubation time (among seven tested variables) were identified as the most significant factors for tannase yield. The effects of significant variables were further evaluated through a single steepest ascent experiment and central composite design with response surface analysis. Under optimal conditions, the experimental value of 84.24 units per gram of dry substrate (U/gds) closely matched the predicted value of 87.26 U/gds. Conclusions: The result of the statistical approach was 2.09 times higher than the basal medium (40.22 U/gds). The results were fitted onto a second-order polynomial model with a correlation coefficient (R2) of 0.9340, which implied an adequate credibility of the model.
topic Aspergillus tubingensis
Process optimization
Response surface methodology
Tea stalks
Tannase fermentation
url http://www.sciencedirect.com/science/article/pii/S071734581500024X
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AT huini statisticaloptimizationfortannaseproductionbyaspergillustubingensisinsolidstatefermentationusingteastalks
AT huinongcai statisticaloptimizationfortannaseproductionbyaspergillustubingensisinsolidstatefermentationusingteastalks
AT qiumingyang statisticaloptimizationfortannaseproductionbyaspergillustubingensisinsolidstatefermentationusingteastalks
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